At a Glance
- Tasks: Design and deliver cutting-edge data platforms using Databricks and cloud technologies.
- Company: Leading tech consultancy focused on data, analytics, AI, and cloud transformation.
- Benefits: Up to £110,000 salary, performance bonus, private healthcare, and flexible working.
- Other info: Great career progression and ongoing training opportunities in a hybrid work environment.
- Why this job: Join a dynamic team and make an impact on large-scale data transformation projects.
- Qualifications: 7+ years in Data Architecture with strong Databricks and Apache Spark experience.
The predicted salary is between 60000 - 80000 £ per year.
Location: UK Wide (Hybrid)
Salary: Up to £110,000 + Bonus + Excellent Benefits
Security Clearance: Must be eligible for SC Clearance
The Opportunity
We’re recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You’ll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business.
Key Responsibilities
- Design and architect Databricks-based data platforms and solutions.
- Build scalable data lakehouse and data warehouse architectures.
- Design data integration, transformation and analytics solutions.
- Support AI and Machine Learning use cases through modern data architectures.
- Collaborate with architects, engineers, data scientists and business stakeholders.
- Lead technical workshops and contribute to solution design activities.
- Support pre-sales engagements, proposals and client presentations.
- Drive best practice across Databricks and modern data platform delivery.
Skills & Experience Required
- 7+ years’ experience in Data Architecture or Solution Architecture.
- Strong commercial experience with Databricks and Apache Spark.
- Experience delivering enterprise data platforms on AWS, Azure or GCP.
- Strong understanding of data warehousing, data lakes and lakehouse architectures.
- Experience designing secure, scalable and governed data solutions.
- Excellent stakeholder management and communication skills.
- Experience supporting pre-sales, bids or solution shaping activities is highly desirable.
Nice to Have
- Public sector experience.
- Databricks certifications.
- Cloud certifications (AWS, Azure or GCP).
- Experience with AI, Machine Learning or GenAI projects.
What's on Offer?
- Up to £110,000 base salary
- Performance bonus
- Private healthcare
- Pension scheme
- Flexible hybrid working
- Ongoing training and certification support
- Exposure to enterprise-scale cloud, data and AI projects
- Clear progression opportunities
Security Clearance
Candidates must be eligible for SC Clearance, which typically requires continuous UK residency for the past 5 years.
Apply If you’re an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we’d love to hear from you.
Databricks Data Solutions Architect employer: 83zero Limited
Join a leading technology consultancy that values innovation and collaboration, offering a dynamic work culture where your expertise in Databricks can shine. With a competitive salary of up to £110,000, performance bonuses, and excellent benefits including private healthcare and flexible hybrid working, this role provides ample opportunities for professional growth and exposure to cutting-edge cloud and data projects. You'll be part of a supportive team that encourages ongoing training and certifications, ensuring you stay at the forefront of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Solutions Architect
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We think you need these skills to ace Databricks Data Solutions Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at 83zero Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 83zero Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at 83zero Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
